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CASIA OpenIR

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Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：225/0  |  提交时间：2022/06/10
Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight  
Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320
作者:  R. Bharathi;  R. Selvarani
Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：178/65  |  提交时间：2021/02/22
Hidden Markov model (HMM)  reliability  logic error  safety critical  software failure.  
Realistic Visual Speech Synthesis Based on Hybrid Concatenation Method 期刊论文
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2009, 卷号: 17, 期号: 3;3, 页码: 469-477
作者:  Tao, Jianhua;  Xin, Le;  Yin, Panrong
收藏  |  浏览/下载：46/0  |  提交时间：2020/10/27
Fused Hidden Markov Model (Hmm)  Inversion  Speech-driven Facial Animation  Unit Concatenation  Visual Speech Synthesis  
Utterance independent bimodal emotion recognition in spontaneous communication 期刊论文
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011, 页码: 1-11
作者:  Tao, Jianhua;  Pan, Shifeng;  Yang, Minghao;  Li, Ya;  Mu, Kaihui;  Che, Jianfeng
收藏  |  浏览/下载：104/0  |  提交时间：2020/10/27
Bimodal Emotion Recognition Utterance Independent  Multistream Hidden Markov Model  Fused Hidden Markov Model Inversion  
Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder 期刊论文
MOLECULAR NEUROBIOLOGY, 2020, 期号: 57, 页码: 4031-4044
作者:  Wang, Shengpei;  Wen, Hongwei;  Hu, Xiaopeng;  Xie, Peng;  Qiu, Shuang;  Qian, Yinfeng;  Qiu, Jiang;  He, Huiguang
浏览  |  Adobe PDF(6324Kb)  |  收藏  |  浏览/下载：357/73  |  提交时间：2020/08/03
Resting-state fMRI  Major depressive disorder (MDD)  Hidden Markov model (HMM)  Brain network dynamic  Transition probability  
An intelligent learning approach for improving ECG signal classification and arrhythmia analysis 期刊论文
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020, 卷号: 103, 页码: 14
作者:  Sangaiah, Arun Kumar;  Arumugam, Maheswari;  Bian, Gui-Bin
收藏  |  浏览/下载：337/0  |  提交时间：2020/06/02
ECG  Noise suppression  Baseline wander (BW)  Power line interference (PLI)  Electromyography (EMG)  Signal to noise ratio (SNR)  Devoted wavelet  Feature extraction  HMM (Hidden Markov Model)  Cardiac arrhythmia  
A robotic shared control teleoperation method based on learning from demonstrations 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 4, 页码: 1-13
作者:  Xi, Bao;  Wang, Shuo;  Ye, Xuemei;  Cai, Yinghao;  Lu, Tao;  Wang, Rui
浏览  |  Adobe PDF(1796Kb)  |  收藏  |  浏览/下载：364/61  |  提交时间：2019/12/16
Dual arm  hidden semi-Markov model  goal prediction  operation assistance  virtual reality  
Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
作者:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Qu, Xinkai;  Guan, Shaofeng
Adobe PDF(2985Kb)  |  收藏  |  浏览/下载：524/148  |  提交时间：2019/04/23
Analysis framework  hidden Markov model  hierarchical classification framework  natural behaviors  percutaneous coronary intervention  
Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 2, 页码: 177-194
作者:  Zhang, Haidong;  Ni, Wancheng;  Li, Xin;  Yang, Yiping
Adobe PDF(2497Kb)  |  收藏  |  浏览/下载：391/178  |  提交时间：2018/10/10
Collaborative Filtering (Cf)  Hidden Semi-markov Model (Hsmm)  Recommender System  Time-dependent Recommendation  
Incremental Learning for Video-Based Gait Recognition With LBP Flow 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2012, 卷号: 43, 期号: 1, 页码: 77-89
作者:  Maodi Hu;  Yunhong Wang;  Zhaoxiang Zhang;  De Zhang;  Little, James J
收藏  |  浏览/下载：123/0  |  提交时间：2017/02/09
Local Binary Pattern (Lbp) Flow  Gait Recognition  Incremental Learning  Individual Hidden Markov Model (Hmm) (iHmm)